matt_flux t1_iraemvd wrote on October 6, 2022 at 3:03 PM

Reply to comment by 3Quondam6extanT9 in The last few weeks have been truly jaw dropping. by Particular_Leader_16

Those things would certainly deliver a return, but at the moment are algorithms programmed by humans. So what, in practical terms, will AI “take over” exactly?

3Quondam6extanT9 t1_irajrw3 wrote on October 6, 2022 at 3:37 PM

In context to what the redditor was talking about, I'm not sure. I'm assuming they may be basing their perspectives on pop culture concepts like Skynet.

I don't think one AGI will take over "everything", but I do think various versions of AGI will become responsible for more automated system throughout different sectors. It won't be a consistent one size fits all as some business and industry will adopt different approaches and lean into it more than others.

In fact I think we'll see an oversaturation of AGI being haphazardly applied or thrown at the wall to see what sticks.
It wouldn't be until an ASI emerges that it's "possible" for unification to occur at some level.

Until that point though I personally do not see it "taking over". But thats just me.

matt_flux t1_irak5er wrote on October 6, 2022 at 3:39 PM

Fair enough, I share the same view. Often manual(?) setting up of automation is more practical than AI though.

3Quondam6extanT9 t1_irando4 wrote on October 6, 2022 at 4:00 PM

We automate most systems currently through manual setup so I can only assume this will continue on until AI has developed enough to self program, at least at limited scale.

matt_flux t1_irat0b5 wrote on October 6, 2022 at 4:37 PM

Pure speculation. How would the AI know if it made an improvement to, or worsened its code? Human reports? If that’s the case it will perform no better than humans do.

3Quondam6extanT9 t1_iravwfo wrote on October 6, 2022 at 4:56 PM

You're right, it is speculation, and initially it would likely be no better than human influence.

However limited improvement itself should be able to be written into code that at the very least is given the parameters to analyze and choose between the better options.

The AI that goes into deep faking, image generation, and now video generation is essentially taking different variables and applying them to the outcome through a set of instructions.

So it wouldn't be beyond the realm of possibility to program a system that can choose between fewer options with a given understanding that each variable outcome has with it an improvement of some sort.

That improvement could alter the speed at which its calculating projections or increasing it's database.

Call it handholding self-improvement to begin. I would like to think over time one could "speculate" that an increasingly complex system is capable of these very limited conditions.